code: def forward(self, x):
      offset_mask = self.conv_offset(x)
      offset, mask = paddle.split(
          offset_mask,
          num_or_sections=[self.offset_channel, self.mask_channel],
          axis=1,
      )
      mask = F.sigmoid(mask)
      y = self.conv_dcn(x, offset, mask=mask)
      return y
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.vision.ops import DeformConv2D
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Normal, Constant, XavierUniform
label_desc: Use image node_id 2 for calling the DeformableConvV2 obj's underlying member method code with example usage: obj.forward(x) and returns: y